C. A. Angeletti

1.2k citations
34 papers · 990 indexed · h-index 16

C. A. Angeletti

33 papers receiving 959 citations

Peers

C. A. Angeletti
Comparison fields: 5 of 68
  • Oncology 419
  • Cancer Research 198
  • Pulmonary and Respiratory Medicine 383
  • Neurology 166
  • Biotechnology 57
Replace Motokazu Suyama with:
Motokazu Suyama Japan
C Mossetti Italy
G.J. Poston United Kingdom
Christian Fellbaum Germany
Natsuko Okita Japan
Yuki Matsumura Japan
Jiren Yu China
U. Ramp Germany
Kaoru Umeyama Japan
Wulf Sienel Germany
C. A. Angeletti relative to Motokazu Suyama Japan Motokazu Suyama's profile →
Citations per field
00.5×5.9×
Motokazu Suyama · 1×
Citations per year

Countries citing papers authored by C. A. Angeletti

Since Specialization
Citations

This map shows the geographic impact of C. A. Angeletti's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by C. A. Angeletti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. A. Angeletti more than expected).

Fields of papers citing papers by C. A. Angeletti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. A. Angeletti. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by C. A. Angeletti. The network helps show where C. A. Angeletti may publish in the future.

Co-authorship network

The 25 scholars most cited alongside C. A. Angeletti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with C. A. Angeletti Line = papers co-authored together C. A. Angeletti links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
A preliminary study on radiofrequency thermal ablation of lung tumors
20043
2
Percutaneous image-guided radio-frequency thermal ablation of the lung.
20021
3 20016
4 199935
5 199920
6 199842
7 199884
8 199815
9
67-Kilodalton laminin receptor expression correlates with worse prognostic indicators in non-small cell lung carcinomas.
199737
10 1997105
11 199617
12
Recurrence and death in non-small cell lung carcinomas: a prognostic model using pathological parameters, microvessel count, and gene protein products.
199624
13 1995172
14 19954
15 199425
16 19943
17 199250
18 1991144
19
Effects of thymostimulin on chemotherapy-induced toxicity and long-term survival in small cell lung cancer patients.
19899
20
A pharmacokinetic study of clofoctol in human plasma and lung tissue by using a microbiological assay.
19886

About C. A. Angeletti

C. A. Angeletti is a scholar working on Cancer Research, Oncology and Pulmonary and Respiratory Medicine, having authored 34 papers that have together received 990 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (8 papers), Lung Cancer Research Studies (6 papers), Lung Cancer Diagnosis and Treatment (5 papers), Cancer-related Molecular Pathways (4 papers), Cancer, Lipids, and Metabolism (4 papers), RNA modifications and cancer (4 papers), Angiogenesis and VEGF in Cancer (3 papers) and Myasthenia Gravis and Thymoma (3 papers). The work is most often cited by research in Oncology (419 citations), Cancer Research (198 citations) and Pulmonary and Respiratory Medicine (383 citations). C. A. Angeletti has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Generoso Bevilacqua, Gabriella Fontanini, A Mussi, Marco Lucchi, Paolo Macchiarini, S. Vignati, Fulvio Basolo, D Bigini, Antonio Chella and S Chinè. Their work appears in journals such as Cancer, British Journal of Cancer and Annals of Oncology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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